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//! Elaboration phase: lowers EGraph back to sequences of operations
//! in CFG nodes.
use super::cost::{pure_op_cost, Cost};
use super::domtree::DomTreeWithChildren;
use super::Stats;
use crate::dominator_tree::DominatorTree;
use crate::fx::FxHashSet;
use crate::ir::{Block, Function, Inst, Value, ValueDef};
use crate::loop_analysis::{Loop, LoopAnalysis, LoopLevel};
use crate::scoped_hash_map::ScopedHashMap;
use crate::trace;
use crate::unionfind::UnionFind;
use alloc::vec::Vec;
use cranelift_entity::{packed_option::ReservedValue, SecondaryMap};
use smallvec::{smallvec, SmallVec};
pub(crate) struct Elaborator<'a> {
func: &'a mut Function,
domtree: &'a DominatorTree,
domtree_children: &'a DomTreeWithChildren,
loop_analysis: &'a LoopAnalysis,
eclasses: &'a mut UnionFind<Value>,
/// Map from Value that is produced by a pure Inst (and was thus
/// not in the side-effecting skeleton) to the value produced by
/// an elaborated inst (placed in the layout) to whose results we
/// refer in the final code.
///
/// The first time we use some result of an instruction during
/// elaboration, we can place it and insert an identity map (inst
/// results to that same inst's results) in this scoped
/// map. Within that block and its dom-tree children, that mapping
/// is visible and we can continue to use it. This allows us to
/// avoid cloning the instruction. However, if we pop that scope
/// and use it somewhere else as well, we will need to
/// duplicate. We detect this case by checking, when a value that
/// we want is not present in this map, whether the producing inst
/// is already placed in the Layout. If so, we duplicate, and
/// insert non-identity mappings from the original inst's results
/// to the cloned inst's results.
value_to_elaborated_value: ScopedHashMap<Value, ElaboratedValue>,
/// Map from Value to the best (lowest-cost) Value in its eclass
/// (tree of union value-nodes).
value_to_best_value: SecondaryMap<Value, (Cost, Value)>,
/// Stack of blocks and loops in current elaboration path.
loop_stack: SmallVec<[LoopStackEntry; 8]>,
/// The current block into which we are elaborating.
cur_block: Block,
/// Values that opt rules have indicated should be rematerialized
/// in every block they are used (e.g., immediates or other
/// "cheap-to-compute" ops).
remat_values: &'a FxHashSet<Value>,
/// Explicitly-unrolled value elaboration stack.
elab_stack: Vec<ElabStackEntry>,
/// Results from the elab stack.
elab_result_stack: Vec<ElaboratedValue>,
/// Explicitly-unrolled block elaboration stack.
block_stack: Vec<BlockStackEntry>,
/// Stats for various events during egraph processing, to help
/// with optimization of this infrastructure.
stats: &'a mut Stats,
}
#[derive(Clone, Copy, Debug)]
struct ElaboratedValue {
in_block: Block,
value: Value,
}
#[derive(Clone, Debug)]
struct LoopStackEntry {
/// The loop identifier.
lp: Loop,
/// The hoist point: a block that immediately dominates this
/// loop. May not be an immediate predecessor, but will be a valid
/// point to place all loop-invariant ops: they must depend only
/// on inputs that dominate the loop, so are available at (the end
/// of) this block.
hoist_block: Block,
/// The depth in the scope map.
scope_depth: u32,
}
#[derive(Clone, Debug)]
enum ElabStackEntry {
/// Next action is to resolve this value into an elaborated inst
/// (placed into the layout) that produces the value, and
/// recursively elaborate the insts that produce its args.
///
/// Any inserted ops should be inserted before `before`, which is
/// the instruction demanding this value.
Start { value: Value, before: Inst },
/// Args have been pushed; waiting for results.
PendingInst {
inst: Inst,
result_idx: usize,
num_args: usize,
remat: bool,
before: Inst,
},
}
#[derive(Clone, Debug)]
enum BlockStackEntry {
Elaborate { block: Block, idom: Option<Block> },
Pop,
}
impl<'a> Elaborator<'a> {
pub(crate) fn new(
func: &'a mut Function,
domtree: &'a DominatorTree,
domtree_children: &'a DomTreeWithChildren,
loop_analysis: &'a LoopAnalysis,
remat_values: &'a FxHashSet<Value>,
eclasses: &'a mut UnionFind<Value>,
stats: &'a mut Stats,
) -> Self {
let num_values = func.dfg.num_values();
let mut value_to_best_value =
SecondaryMap::with_default((Cost::infinity(), Value::reserved_value()));
value_to_best_value.resize(num_values);
Self {
func,
domtree,
domtree_children,
loop_analysis,
eclasses,
value_to_elaborated_value: ScopedHashMap::with_capacity(num_values),
value_to_best_value,
loop_stack: smallvec![],
cur_block: Block::reserved_value(),
remat_values,
elab_stack: vec![],
elab_result_stack: vec![],
block_stack: vec![],
stats,
}
}
fn start_block(&mut self, idom: Option<Block>, block: Block) {
trace!(
"start_block: block {:?} with idom {:?} at loop depth {:?} scope depth {}",
block,
idom,
self.loop_stack.len(),
self.value_to_elaborated_value.depth()
);
// Pop any loop levels we're no longer in.
while let Some(inner_loop) = self.loop_stack.last() {
if self.loop_analysis.is_in_loop(block, inner_loop.lp) {
break;
}
self.loop_stack.pop();
}
// Note that if the *entry* block is a loop header, we will
// not make note of the loop here because it will not have an
// immediate dominator. We must disallow this case because we
// will skip adding the `LoopStackEntry` here but our
// `LoopAnalysis` will otherwise still make note of this loop
// and loop depths will not match.
if let Some(idom) = idom {
if let Some(lp) = self.loop_analysis.is_loop_header(block) {
self.loop_stack.push(LoopStackEntry {
lp,
// Any code hoisted out of this loop will have code
// placed in `idom`, and will have def mappings
// inserted in to the scoped hashmap at that block's
// level.
hoist_block: idom,
scope_depth: (self.value_to_elaborated_value.depth() - 1) as u32,
});
trace!(
" -> loop header, pushing; depth now {}",
self.loop_stack.len()
);
}
} else {
debug_assert!(
self.loop_analysis.is_loop_header(block).is_none(),
"Entry block (domtree root) cannot be a loop header!"
);
}
trace!("block {}: loop stack is {:?}", block, self.loop_stack);
self.cur_block = block;
}
fn compute_best_values(&mut self) {
let best = &mut self.value_to_best_value;
for (value, def) in self.func.dfg.values_and_defs() {
trace!("computing best for value {:?} def {:?}", value, def);
match def {
ValueDef::Union(x, y) => {
// Pick the best of the two options based on
// min-cost. This works because each element of `best`
// is a `(cost, value)` tuple; `cost` comes first so
// the natural comparison works based on cost, and
// breaks ties based on value number.
trace!(" -> best of {:?} and {:?}", best[x], best[y]);
best[value] = std::cmp::min(best[x], best[y]);
trace!(" -> {:?}", best[value]);
}
ValueDef::Param(_, _) => {
best[value] = (Cost::zero(), value);
}
// If the Inst is inserted into the layout (which is,
// at this point, only the side-effecting skeleton),
// then it must be computed and thus we give it zero
// cost.
ValueDef::Result(inst, _) if self.func.layout.inst_block(inst).is_some() => {
best[value] = (Cost::zero(), value);
}
ValueDef::Result(inst, _) => {
trace!(" -> value {}: result, computing cost", value);
let inst_data = &self.func.dfg.insts[inst];
let loop_level = self
.func
.layout
.inst_block(inst)
.map(|block| self.loop_analysis.loop_level(block))
.unwrap_or(LoopLevel::root());
// N.B.: at this point we know that the opcode is
// pure, so `pure_op_cost`'s precondition is
// satisfied.
let cost = self.func.dfg.inst_values(inst).fold(
pure_op_cost(inst_data.opcode()).at_level(loop_level.level()),
|cost, value| cost + best[value].0,
);
best[value] = (cost, value);
}
};
debug_assert_ne!(best[value].0, Cost::infinity());
debug_assert_ne!(best[value].1, Value::reserved_value());
trace!("best for eclass {:?}: {:?}", value, best[value]);
}
}
/// Elaborate use of an eclass, inserting any needed new
/// instructions before the given inst `before`. Should only be
/// given values corresponding to results of instructions or
/// blockparams.
fn elaborate_eclass_use(&mut self, value: Value, before: Inst) -> ElaboratedValue {
debug_assert_ne!(value, Value::reserved_value());
// Kick off the process by requesting this result
// value.
self.elab_stack
.push(ElabStackEntry::Start { value, before });
// Now run the explicit-stack recursion until we reach
// the root.
self.process_elab_stack();
debug_assert_eq!(self.elab_result_stack.len(), 1);
self.elab_result_stack.pop().unwrap()
}
fn process_elab_stack(&mut self) {
while let Some(entry) = self.elab_stack.last() {
match entry {
&ElabStackEntry::Start { value, before } => {
// We always replace the Start entry, so pop it now.
self.elab_stack.pop();
debug_assert_ne!(value, Value::reserved_value());
let value = self.func.dfg.resolve_aliases(value);
self.stats.elaborate_visit_node += 1;
let canonical_value = self.eclasses.find_and_update(value);
debug_assert_ne!(canonical_value, Value::reserved_value());
trace!(
"elaborate: value {} canonical {} before {}",
value,
canonical_value,
before
);
// Get the best option; we use `value` (latest
// value) here so we have a full view of the
// eclass.
trace!("looking up best value for {}", value);
let (_, best_value) = self.value_to_best_value[value];
debug_assert_ne!(best_value, Value::reserved_value());
trace!("elaborate: value {} -> best {}", value, best_value);
let remat = if let Some(elab_val) =
self.value_to_elaborated_value.get(&canonical_value)
{
// Value is available. Look at the defined
// block, and determine whether this node kind
// allows rematerialization if the value comes
// from another block. If so, ignore the hit
// and recompute below.
let remat = elab_val.in_block != self.cur_block
&& self.remat_values.contains(&best_value);
if !remat {
trace!("elaborate: value {} -> {:?}", value, elab_val);
self.stats.elaborate_memoize_hit += 1;
self.elab_result_stack.push(*elab_val);
continue;
}
trace!("elaborate: value {} -> remat", canonical_value);
self.stats.elaborate_memoize_miss_remat += 1;
// The op is pure at this point, so it is always valid to
// remove from this map.
self.value_to_elaborated_value.remove(&canonical_value);
true
} else {
// Value not available; but still look up
// whether it's been flagged for remat because
// this affects placement.
let remat = self.remat_values.contains(&best_value);
trace!(" -> not present in map; remat = {}", remat);
remat
};
self.stats.elaborate_memoize_miss += 1;
// Now resolve the value to its definition to see
// how we can compute it.
let (inst, result_idx) = match self.func.dfg.value_def(best_value) {
ValueDef::Result(inst, result_idx) => {
trace!(
" -> value {} is result {} of {}",
best_value,
result_idx,
inst
);
(inst, result_idx)
}
ValueDef::Param(in_block, _) => {
// We don't need to do anything to compute
// this value; just push its result on the
// result stack (blockparams are already
// available).
trace!(" -> value {} is a blockparam", best_value);
self.elab_result_stack.push(ElaboratedValue {
in_block,
value: best_value,
});
continue;
}
ValueDef::Union(_, _) => {
panic!("Should never have a Union value as the best value");
}
};
trace!(
" -> result {} of inst {:?}",
result_idx,
self.func.dfg.insts[inst]
);
// We're going to need to use this instruction
// result, placing the instruction into the
// layout. First, enqueue all args to be
// elaborated. Push state to receive the results
// and later elab this inst.
let num_args = self.func.dfg.inst_values(inst).count();
self.elab_stack.push(ElabStackEntry::PendingInst {
inst,
result_idx,
num_args,
remat,
before,
});
// Push args in reverse order so we process the
// first arg first.
for arg in self.func.dfg.inst_values(inst).rev() {
debug_assert_ne!(arg, Value::reserved_value());
self.elab_stack
.push(ElabStackEntry::Start { value: arg, before });
}
}
&ElabStackEntry::PendingInst {
inst,
result_idx,
num_args,
remat,
before,
} => {
self.elab_stack.pop();
trace!(
"PendingInst: {} result {} args {} remat {} before {}",
inst,
result_idx,
num_args,
remat,
before
);
// We should have all args resolved at this
// point. Grab them and drain them out, removing
// them.
let arg_idx = self.elab_result_stack.len() - num_args;
let arg_values = &self.elab_result_stack[arg_idx..];
// Compute max loop depth.
//
// Note that if there are no arguments then this instruction
// is allowed to get hoisted up one loop. This is not
// usually used since no-argument values are things like
// constants which are typically rematerialized, but for the
// `vconst` instruction 128-bit constants aren't as easily
// rematerialized. They're hoisted out of inner loops but
// not to the function entry which may run the risk of
// placing too much register pressure on the entire
// function. This is modeled with the `.saturating_sub(1)`
// as the default if there's otherwise no maximum.
let loop_hoist_level = arg_values
.iter()
.map(|&value| {
// Find the outermost loop level at which
// the value's defining block *is not* a
// member. This is the loop-nest level
// whose hoist-block we hoist to.
let hoist_level = self
.loop_stack
.iter()
.position(|loop_entry| {
!self.loop_analysis.is_in_loop(value.in_block, loop_entry.lp)
})
.unwrap_or(self.loop_stack.len());
trace!(
" -> arg: elab_value {:?} hoist level {:?}",
value,
hoist_level
);
hoist_level
})
.max()
.unwrap_or(self.loop_stack.len().saturating_sub(1));
trace!(
" -> loop hoist level: {:?}; cur loop depth: {:?}, loop_stack: {:?}",
loop_hoist_level,
self.loop_stack.len(),
self.loop_stack,
);
// We know that this is a pure inst, because
// non-pure roots have already been placed in the
// value-to-elab'd-value map and are never subject
// to remat, so they will not reach this stage of
// processing.
//
// We now must determine the location at which we
// place the instruction. This is the current
// block *unless* we hoist above a loop when all
// args are loop-invariant (and this op is pure).
let (scope_depth, before, insert_block) =
if loop_hoist_level == self.loop_stack.len() || remat {
// Depends on some value at the current
// loop depth, or remat forces it here:
// place it at the current location.
(
self.value_to_elaborated_value.depth(),
before,
self.func.layout.inst_block(before).unwrap(),
)
} else {
// Does not depend on any args at current
// loop depth: hoist out of loop.
self.stats.elaborate_licm_hoist += 1;
let data = &self.loop_stack[loop_hoist_level];
// `data.hoist_block` should dominate `before`'s block.
let before_block = self.func.layout.inst_block(before).unwrap();
debug_assert!(self.domtree.dominates(
data.hoist_block,
before_block,
&self.func.layout
));
// Determine the instruction at which we
// insert in `data.hoist_block`.
let before = self.func.layout.last_inst(data.hoist_block).unwrap();
(data.scope_depth as usize, before, data.hoist_block)
};
trace!(
" -> decided to place: before {} insert_block {}",
before,
insert_block
);
// Now we need to place `inst` at the computed
// location (just before `before`). Note that
// `inst` may already have been placed somewhere
// else, because a pure node may be elaborated at
// more than one place. In this case, we need to
// duplicate the instruction (and return the
// `Value`s for that duplicated instance
// instead).
trace!("need inst {} before {}", inst, before);
let inst = if self.func.layout.inst_block(inst).is_some() {
// Clone the inst!
let new_inst = self.func.dfg.clone_inst(inst);
trace!(
" -> inst {} already has a location; cloned to {}",
inst,
new_inst
);
// Create mappings in the
// value-to-elab'd-value map from original
// results to cloned results.
for (&result, &new_result) in self
.func
.dfg
.inst_results(inst)
.iter()
.zip(self.func.dfg.inst_results(new_inst).iter())
{
let elab_value = ElaboratedValue {
value: new_result,
in_block: insert_block,
};
let canonical_result = self.eclasses.find_and_update(result);
self.value_to_elaborated_value.insert_if_absent_with_depth(
canonical_result,
elab_value,
scope_depth,
);
self.eclasses.add(new_result);
self.eclasses.union(result, new_result);
self.value_to_best_value[new_result] = self.value_to_best_value[result];
trace!(
" -> cloned inst has new result {} for orig {}",
new_result,
result
);
}
new_inst
} else {
trace!(" -> no location; using original inst");
// Create identity mappings from result values
// to themselves in this scope, since we're
// using the original inst.
for &result in self.func.dfg.inst_results(inst) {
let elab_value = ElaboratedValue {
value: result,
in_block: insert_block,
};
let canonical_result = self.eclasses.find_and_update(result);
self.value_to_elaborated_value.insert_if_absent_with_depth(
canonical_result,
elab_value,
scope_depth,
);
trace!(" -> inserting identity mapping for {}", result);
}
inst
};
// Place the inst just before `before`.
self.func.layout.insert_inst(inst, before);
// Update the inst's arguments.
self.func
.dfg
.overwrite_inst_values(inst, arg_values.into_iter().map(|ev| ev.value));
// Now that we've consumed the arg values, pop
// them off the stack.
self.elab_result_stack.truncate(arg_idx);
// Push the requested result index of the
// instruction onto the elab-results stack.
self.elab_result_stack.push(ElaboratedValue {
in_block: insert_block,
value: self.func.dfg.inst_results(inst)[result_idx],
});
}
}
}
}
fn elaborate_block(&mut self, elab_values: &mut Vec<Value>, idom: Option<Block>, block: Block) {
trace!("elaborate_block: block {}", block);
self.start_block(idom, block);
// Iterate over the side-effecting skeleton using the linked
// list in Layout. We will insert instructions that are
// elaborated *before* `inst`, so we can always use its
// next-link to continue the iteration.
let mut next_inst = self.func.layout.first_inst(block);
let mut first_branch = None;
while let Some(inst) = next_inst {
trace!(
"elaborating inst {} with results {:?}",
inst,
self.func.dfg.inst_results(inst)
);
// Record the first branch we see in the block; all
// elaboration for args of *any* branch must be inserted
// before the *first* branch, because the branch group
// must remain contiguous at the end of the block.
if self.func.dfg.insts[inst].opcode().is_branch() && first_branch == None {
first_branch = Some(inst);
}
// Determine where elaboration inserts insts.
let before = first_branch.unwrap_or(inst);
trace!(" -> inserting before {}", before);
elab_values.extend(self.func.dfg.inst_values(inst));
for arg in elab_values.iter_mut() {
trace!(" -> arg {}", *arg);
// Elaborate the arg, placing any newly-inserted insts
// before `before`. Get the updated value, which may
// be different than the original.
let new_arg = self.elaborate_eclass_use(*arg, before);
trace!(" -> rewrote arg to {:?}", new_arg);
*arg = new_arg.value;
}
self.func
.dfg
.overwrite_inst_values(inst, elab_values.drain(..));
// We need to put the results of this instruction in the
// map now.
for &result in self.func.dfg.inst_results(inst) {
trace!(" -> result {}", result);
let canonical_result = self.eclasses.find_and_update(result);
self.value_to_elaborated_value.insert_if_absent(
canonical_result,
ElaboratedValue {
in_block: block,
value: result,
},
);
}
next_inst = self.func.layout.next_inst(inst);
}
}
fn elaborate_domtree(&mut self, domtree: &DomTreeWithChildren) {
let root = domtree.root();
self.block_stack.push(BlockStackEntry::Elaborate {
block: root,
idom: None,
});
// A temporary workspace for elaborate_block, allocated here to maximize the use of the
// allocation.
let mut elab_values = Vec::new();
while let Some(top) = self.block_stack.pop() {
match top {
BlockStackEntry::Elaborate { block, idom } => {
self.block_stack.push(BlockStackEntry::Pop);
self.value_to_elaborated_value.increment_depth();
self.elaborate_block(&mut elab_values, idom, block);
// Push children. We are doing a preorder
// traversal so we do this after processing this
// block above.
let block_stack_end = self.block_stack.len();
for child in domtree.children(block) {
self.block_stack.push(BlockStackEntry::Elaborate {
block: child,
idom: Some(block),
});
}
// Reverse what we just pushed so we elaborate in
// original block order. (The domtree iter is a
// single-ended iter over a singly-linked list so
// we can't `.rev()` above.)
self.block_stack[block_stack_end..].reverse();
}
BlockStackEntry::Pop => {
self.value_to_elaborated_value.decrement_depth();
}
}
}
}
pub(crate) fn elaborate(&mut self) {
self.stats.elaborate_func += 1;
self.stats.elaborate_func_pre_insts += self.func.dfg.num_insts() as u64;
self.compute_best_values();
self.elaborate_domtree(&self.domtree_children);
self.stats.elaborate_func_post_insts += self.func.dfg.num_insts() as u64;
}
}